Datasets:
Formats:
csv
Languages:
English
Size:
1K - 10K
Tags:
arxiv-artifact
reproducibility
research-artifact
computer-science
computer-logic
formal-methods
License:
File size: 1,645 Bytes
9fc0ed7 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 | #!/usr/bin/env bash
set -euo pipefail
REMOTE=${PCMT_REMOTE:?Set PCMT_REMOTE, for example user@host}
PORT=${PCMT_REMOTE_PORT:-22}
REMOTE_DIR=${PCMT_REMOTE_DIR:-/workspace/pcmt}
REMOTE_COMMAND=${PCMT_REMOTE_COMMAND:-make run-small}
TELEMETRY_INTERVAL=${PCMT_TELEMETRY_INTERVAL:-1}
rsync -az --delete \
--exclude '.git' \
--exclude '.DS_Store' \
--exclude 'old_backup_do_not_touch_stay_away' \
--exclude 'runs' \
--exclude 'figures' \
./ -e "ssh -p ${PORT} -o StrictHostKeyChecking=no" "${REMOTE}:${REMOTE_DIR}/"
ssh -p "${PORT}" -o StrictHostKeyChecking=no "${REMOTE}" "
set -euo pipefail
cd '${REMOTE_DIR}'
source /venv/main/bin/activate || true
python3 - <<'PY' >/dev/null 2>&1 || uv pip install numpy matplotlib pytest opencv-python-headless
import numpy, matplotlib, cv2
PY
python3 - <<'PY' >/dev/null 2>&1 || uv pip install torch --index-url https://download.pytorch.org/whl/cu128
import torch
assert torch.cuda.is_available()
PY
python3 -m pcmt.cli queue-init --path runs/gpu_jobs.jsonl
python3 -m pcmt.cli queue-add --path runs/gpu_jobs.jsonl --name run-small-gpu --command '${REMOTE_COMMAND}'
(nvidia-smi --query-gpu=timestamp,name,utilization.gpu,memory.used,memory.total --format=csv -l ${TELEMETRY_INTERVAL} > runs/gpu_telemetry.csv 2>&1 & echo \$! > runs/gpu_telemetry.pid)
python3 -m pcmt.cli queue-run-next --path runs/gpu_jobs.jsonl --log-dir runs/gpu_queue_logs
kill \$(cat runs/gpu_telemetry.pid) 2>/dev/null || true
tail -n 5 runs/gpu_telemetry.csv || true
"
mkdir -p runs/remote_gpu
rsync -az -e "ssh -p ${PORT} -o StrictHostKeyChecking=no" "${REMOTE}:${REMOTE_DIR}/runs/" runs/remote_gpu/
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